Lead Data Platform Engineer
Description
About the Role
Lead the design and operation of a production data platform for a procurement technology product. This hands-on technical leadership role connects enterprise data sources to reliable analytics, working closely with product and engineering colleagues and customer IT teams.
What You'll Do
Design multi-tenant architecture and reusable data models with strong tenant isolation and appropriate access controls.
Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
Develop repeatable integrations and synchronization patterns for enterprise systems, including ERPs.
Own ingestion, orchestration, monitoring, and recovery for production data workflows.
Create tools and processes that make data onboarding, troubleshooting, and analytics development more efficient.
Use and evaluate AI development tools to improve engineering workflows.
What We're Looking For
At least 5 years of experience building production data systems, including ownership of architecture and implementation.
Strong SQL and Python skills, with experience in data modeling and query optimization.
Practical experience designing multi-tenant systems with data isolation and access controls.
Experience integrating enterprise systems and working directly with customer IT teams on schemas, APIs, permissions, and synchronization.
Experience operating ingestion, orchestration, monitoring, and recovery in production.
Background in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.
Compensation & Benefits
Competitive salary and meaningful equity. Visa sponsorship is not available.
Location
On-site in Berlin, Germany. Candidates should be based in Berlin or willing to relocate.